Associate Professor (Docent)
Data Science at Stockholm University
Department of Computer and Systems Science (DSV)
Stockholm University
Email: sindri.magnusson@dsv.su.se
Address: Borgarfjordsgatan 8, SE-164 07, Sweden
Bio: Sindri Magnússon is an Associate Professor at the Department of Computer and Systems Science, Stockholm University, Sweden. He received the B.Sc. degree in Mathematics from University of Iceland, Reykjavík Iceland, in 2011, the Masters degree in Applied Mathematics (Optimization and Systems Theory) from KTH Royal Institute of Technology, Stockholm Sweden, in 2013, and the PhD in Electrical Engineering from the same institution, in 2017. He was a postdoctoral researcher 2018-2019 at Harvard University, Cambridge, MA and a visiting PhD student at Harvard University for 9 months in 2015 and 2016. His research interests include distributed optimization, machine learning and data-driven decision-making both theory and applications in complex networks. He currently serves as an Associate Editor for IEEE/ACM Transactions on Networking. He has received a number of awards, including the best student paper award (as a supervisor) at the IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP) and the Swedish Research Council (VR) starting grant within natural and engineering sciences.
Projects
Swedish Research Council: Federated Reinforcement Learning (FedRL): Algorithms and Theoretical Foundations. (2025-2028)
The Swedish Institute (SI): Heterogeneous Computing Continuum for a Sustainable Smart City Management (HCSCM). (2024-2026)
Wallenberg Foundation: AI for society: Towards socially just algorithmic decision making. (2024-2029)
Swedish Agency for Innovation Systems: Smart Converters for Climate-neutral Society: Artificial Intelligence-based Control and Coordination. (2022-2026)
Digital Futures, C3.AI Digital Transformation Institute: Data-driven control and coordination of smart converters for sustainable power system. (2021-2022)
Digital Futures Collaborative project: Decision-making in Critical Societal Infrastructures (DEMOCRITUS). (2020-2025)
Swedish Research Council: Resource Constrained Machine Learning in Complex Networks. (2020-2024)
PhD Students
Zahra Kharazian (co-supervisor)
Sayeh Sobhani (co-supervisor)
Alfreds Lapkovskis (co-supervisor)
Lida Huang (graduated 2024, co-supervisor, now Nordea)